Quasi-Newton methods for solving multiobjective optimization
From MaRDI portal
Publication:408414
DOI10.1016/j.orl.2011.07.008zbMath1235.90139OpenAlexW2034136603MaRDI QIDQ408414
Mark Goh, Felix T. S. Chan, Shao-Jian Qu
Publication date: 5 April 2012
Published in: Operations Research Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.orl.2011.07.008
Related Items (37)
Multiple reduced gradient method for multiobjective optimization problems ⋮ Barzilai and Borwein's method for multiobjective optimization problems ⋮ A study of Liu-Storey conjugate gradient methods for vector optimization ⋮ A modified Quasi-Newton method for vector optimization problem ⋮ A multiobjective steepest descent method with applications to optimal well control ⋮ A sequential quadratically constrained quadratic programming technique for a multi-objective optimization problem ⋮ A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application ⋮ A quasi-Newton method with Wolfe line searches for multiobjective optimization ⋮ The multiobjective steepest descent direction is not Lipschitz continuous, but is Hölder continuous ⋮ Towards explicit superlinear convergence rate for SR1 ⋮ Variable metric method for unconstrained multiobjective optimization problems ⋮ On the extension of the Hager-Zhang conjugate gradient method for vector optimization ⋮ Convergence rates of the stochastic alternating algorithm for bi-objective optimization ⋮ Conditional gradient method for vector optimization ⋮ Nonmonotone gradient methods for vector optimization with a portfolio optimization application ⋮ Multi-objective model predictive control with gradient eigenvector algorithm ⋮ A Barzilai-Borwein descent method for multiobjective optimization problems ⋮ A limited memory quasi-Newton approach for multi-objective optimization ⋮ A novel hybrid algorithm for solving multiobjective optimization problems with engineering applications ⋮ Quasi-Newton methods for multiobjective optimization problems ⋮ Proximal point algorithms for convex multi-criteria optimization with applications to supply chain risk management ⋮ A Globally Convergent SQCQP Method for Multiobjective Optimization Problems ⋮ Extension of Zoutendijk method for solving constrained multiobjective optimization problems ⋮ Nonsmooth multiobjective programming with quasi-Newton methods ⋮ Accelerated diagonal steepest descent method for unconstrained multiobjective optimization ⋮ Proximal point algorithms for vector DC programming with applications to probabilistic lot sizing with service levels ⋮ A new Pareto set generating method for multi-criteria optimization problems ⋮ Nonlinear Conjugate Gradient Methods for Vector Optimization ⋮ On \(q\)-Newton's method for unconstrained multiobjective optimization problems ⋮ Multi-criteria optimization in regression ⋮ A Newton method for capturing Pareto optimal solutions of fuzzy multiobjective optimization problems ⋮ An augmented Lagrangian algorithm for multi-objective optimization ⋮ Adaptive trust region scheme for multi-objective optimization problem using Geršgorin circle theorem ⋮ An accelerated augmented Lagrangian method for multi-criteria optimization problem ⋮ A superlinearly convergent nonmonotone quasi-Newton method for unconstrained multiobjective optimization ⋮ Trust region methods for solving multiobjective optimisation ⋮ Newton-like methods for solving vector optimization problems
Cites Work
This page was built for publication: Quasi-Newton methods for solving multiobjective optimization